26thmarch_2023 Computer Vision Project

spicerIndia

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processed_fg
processed_od
raw_fg
raw_od

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Description

Here are a few use cases for this project:

  1. "Quality Control in Metal Manufacturing": This model could be used in a factory setting to distinguish between raw and processed variants of both open die (od) and flat ground (fg) metals. It could be instrumental in ensuring that each phase of the manufacturing process is applied correctly and that the final products meet high-quality standards.
  1. "Automated Sorting and Inventory Management": This could be a tool to automatically sort and categorize metal materials based on their state (raw or processed) and type (open die or flat ground). This streamlined system can significantly improve production efficiency and inventory management in metalworking industries.

  2. "Educational Purpose in Metallurgy": The model can be used as an educational tool for teaching metallurgy. This might be a demonstration illustrating the differences between open die and flat ground metals and processed and raw states.

  3. "Scrap Metal Recycling": The model could assist in recycling facilities to identify and sort different types of metal scraps, enabling easier recycling and helping to steer raw materials back into productive use.

  4. "Archaeological Studies": This model can be used to identify specific types of metal artifacts from archaeological excavations. By distinguishing between raw and processed variants and identifying whether an item is open die or flat ground, researchers can make more accurate deductions about an artifact's origin, era or use.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            26thmarch_2023_dataset,
                            title = { 26thmarch_2023 Dataset },
                            type = { Open Source Dataset },
                            author = { spicerIndia },
                            howpublished = { \url{ https://universe.roboflow.com/spicerindia/26thmarch_2023 } },
                            url = { https://universe.roboflow.com/spicerindia/26thmarch_2023 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-12-27 },
                            }
                        
                    

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